Triple

T18931677
Position Surface form Disambiguated ID Type / Status
Subject Luneta Park E463125 entity
Predicate historicalName P65 FINISHED
Object Luneta NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Luneta | Statement: [Luneta Park, historicalName, Luneta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luneta
Context triple: [Luneta Park, historicalName, Luneta]
  • A. Luneta chosen
    Luneta is the historic urban park in Manila, Philippines, renowned as a national landmark and popular public gathering place.
  • B. Lunay
    Lunay is a Puerto Rican reggaeton and Latin trap singer known for hits like "Soltera" and collaborations with major urban Latin artists.
  • C. Luna
    Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
  • D. Luna
    Luna is the gentle, talking moon character who serves as a wise, comforting friend and advisor to Bear in the children's television series "Bear in the Big Blue House."
  • E. Luna
    Luna is a given name used as part of the full name Kaiya Bella Luna Stormare.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9c0b84881909ad6da9522203df8 completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.